AGM: Flat Base detected on 30 Apr 2026

All prices, scores, and news on this page reflect data available before market open on .

Browse all Flat Base detections →
Overall Score
69 of 100
Moderate
Win Probability
65%
Moderate
Reward / Risk
0.8 : 1
$1.62 reward $-2.09 risk
Current Setup
AGM is forming a flat base pattern with price consolidating between support at $145.00 and resistance at $178.16. At $172.34, the stock sits near the upper bound of this range, 15.96% below its 52-week high. Pattern quality shows moderate strength: structure score of 11/15 indicates steady accumulation, breakout score of 12/13 reflects strong directional momentum, and volume score of 12/12 signals above-average participation (relative volume 1.17x, 104,207 shares vs. 89,365 20-day average). Overall score of 69/98 and win probability of 64.99% suggest this is a tradeable setup with decent odds.
Stock Context
Farmer Mac will release Q1 2026 financial results on May 5, 2026 after market close, creating near-term event risk just five days away. The company delivered record net effective spread and tenth consecutive year of record annual core earnings in 2025. In February 2026, the Board declared a quarterly dividend of $1.60 per share—a 7% year-over-year increase, marking the fifteenth consecutive year of dividend increases. In late February, Keefe Bruyette lowered its price target from $219 to $215, suggesting mild caution despite strong fundamentals. The recent 19.38% one-month gain reflects market optimism around earnings strength, positioning this pattern at a critical juncture ahead of results.
What to Expect
A successful breakout above resistance at $178.16 would target $179.81 conservatively (the target_conservative level), representing only ~4% upside from current price. Volume confirmation is critical: sustaining above-average participation (>1.15x relative volume) on an intraday close above $178.16 would validate the breakout. The invalidation level sits at support of $145.00; failure to hold above this level would negate the pattern and suggest the consolidation was merely a pullback within a larger downtrend. Win probability of 64.99% indicates the odds slightly favor upside resolution, but the modest target suggests limited reward relative to the $27.34 risk-to-support (145 to 172.34).
Risk Factors
Earnings release on May 5, 2026—just 5 days away—poses significant event risk; unforeseen headwinds in Q1 results could trigger sharp reversal below support. Q4 2025 was impacted by isolated borrower-specific credit events, and if Q1 shows deteriorating credit metrics or guidance cuts, momentum could evaporate. RSI at 64.89 is approaching overbought territory (>70), reducing upside cushion. Beta of 0.88 provides some downside protection, but 20-day volatility at 24.68% is material—sudden rate moves or agricultural commodity shocks (tariffs, trade policy, commodity prices) could whipsaw the trade. Agricultural lending cycles are sensitive to commodity volatility and input costs; any surprise inflation data before May 5 could pressure the setup.
Market & Sector Regime
Market
Bullish 0.87
-1.0 0 +1.0
Finance Sector
Bullish 0.45
-1.0 0 +1.0
Overall Score
35 of 40
Strong
Pattern Quality
9 of 20
Weak
Setup
11 of 20
Fair
R/R
14 of 18
Good
Context
Pattern Quality Score
11 of 15
Good
Structure
12 of 13
Exceptional
Breakout
12 of 12
Exceptional
Volume
Recent Performance
-0.7%
1W
+4.3%
2W
+19.4%
1M
+4.1%
3M
Momentum & Trend
RSI (14)
64.9
Neutral
MACD Histogram
+0.93
Bullish
Bollinger Band Position
71.1%
Upper Zone
Volatility & Risk
20-Day Volatility
0.25
Moderate
ATR %
2.7%
Medium
Beta
0.88
Market
Volume Analysis
Volume Ratio
1.17x
Average
20-Day Avg Vol
89K
shares / day
Current Volume
104K
shares traded
Price Levels
52W High
$205.07
Target
$179.81
Resistance
$178.16
Current
$172.34
Stop Loss
$167.13
Support
$145.00
52W Low
$136.57
Disclaimer: This analysis is algorithmically generated for educational purposes only and does not constitute financial advice. Past pattern performance does not guarantee future results. Win probabilities are based on historical data across 370,000+ observations. Always conduct your own research and consult a qualified financial advisor. AI-assisted contextual analysis by Claude (Anthropic). Indicators reflect values at time of detection.